International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | Egypt | Volume 3 Issue 11, November 2014


Keyword Extraction using Clustering and Semantic Analysis

Dr. Mohamed H. Haggag | Dr.Amal Abutabl | Ahmed Basil


Abstract: Keywords are list of significant words or terms that best present the document context in brief and relate to the textual context. Extraction models are categorized into either statistical, linguistic, machine learning or a combination of these approaches. This paper introduces a model for extracting keywords by making words pairs and clustering these pairs based on the Semantic similarity that will be provided by using lesk algorithm and (WordNet), a lexical database for the English language. The model also used a statistical method to ensure clusters cohesion and provide more reliable result, because the final keywords will be selected from these clusters. This paper also show three other basic approaches to extract keywords, these approaches will be used to measure the efficient of the main approach. The proposed model showed enhanced over the three other approaches in both precision and recall.


Keywords: extraction, semantic analysis, wordnet


Edition: Volume 3 Issue 11, November 2014,


Pages: 1128 - 1132


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How to Cite this Article?

Dr. Mohamed H. Haggag, Dr.Amal Abutabl, Ahmed Basil, "Keyword Extraction using Clustering and Semantic Analysis", International Journal of Science and Research (IJSR), Volume 3 Issue 11, November 2014, pp. 1128-1132, https://www.ijsr.net/get_abstract.php?paper_id=OCT141022

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